A new method for CT to fluoroscope registration based on unscented Kalman filter.

Med Image Comput Comput Assist Interv

School of Computing, Queen's University, Kingston, ON K7L 3N6, Canada.

Published: April 2007

We propose a new method for CT to fluoroscope registration which is very robust and has a wide capture range. The method relies on the Unscented Kalman Filter to search for an optimal registration solution and on modern commodity graphics cards for fast generation of digitally reconstructed radiographs. We extensively test our method using three different anatomical data sets and compare it with an implementation of the commonly used simplex-based method. The experimental results firmly support that, under the same testing conditions, our proposed technique outperforms the simplex-based method in capture range while providing comparable accuracy and computation time.

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http://dx.doi.org/10.1007/11866565_109DOI Listing

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